[return to overview page]
Again, I will start by loading relevant packages.
# before knitting: message = FALSE, warning = FALSE
library(tidyverse) # cleaning and visualization
First, I will load the various cleaned versions of the data we just created.
# load in cleaned features
load("stats_proc.Rda")
rm(stats_raw) # remove raw (un-processed) feature data
# load in guesses
load("stats_guess.Rda")
# combine data
stats_combo <-
stats_guess %>%
select(stat_id, predict) %>%
left_join(y = stats_proc,
by = "stat_id")
# print resultant df
stats_combo
# save combined file in Rda file
save(stats_combo,
file = "stats_combo.Rda")